ASSESSMENT OF THE NASA SMAP SOIL MOISTURE PRODUCT OVER A SEMI-ARID AGRICULTURAL REGION IN MEXICO

被引:0
|
作者
Monsivais-Huertero, Alejandro [1 ]
Zempoaltecatl-Ramirez, Enrique [1 ]
Huerta-Batiz, Hector Ernesto [1 ]
Constantino-Recillas, Daniel Enrique [1 ]
Cotero-Manzo, Roberto [1 ]
Hernandez-Sanchez, Juan Carlos [1 ]
Quiroz-Ibarra, Jose Emilio [2 ]
Gonzalez-Ordiano, Jorge Angel [3 ]
Garcia-Sanchez, Abisay [4 ]
Rodriguez-Ortiz, Gerardo [4 ]
Florencio-Da Silva, Rodrigo [1 ]
Sauce-Rangel, Victor Manuel [1 ]
Jimenez-Escalona, Jose Carlos [1 ]
机构
[1] Inst Politecn Nacl, ESIME Ticoman, Mexico City 07320, DF, Mexico
[2] Univ Iberoamer, Inst Invest Aplicada & Tecnol INIAT, Mexico City 01219, DF, Mexico
[3] Univ Iberoamer, Dept Estudios Ingn Innovac DEII, Mexico City, DF, Mexico
[4] Inst Tecnol Valle Oaxaca, Xoxocotlan 71230, Mexico
关键词
Soil moisture; retrieval algorithm; agricultural area; NASA SMAP;
D O I
10.1109/IGARSS52108.2023.10282375
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite aims at estimating surface soil moisture at global scales. In order to validate the soil moisture retrieval algorithms, they need to be tested over different conditions worldwide. In response to this need, the Terrestrial Hydrology Experiment 2021 and 2022 in Mexico (THEXMEX-21 and -22) was conducted in Central Valleys, Oaxaca, Mexico over a twelve-month period. Ground crews collected soil moisture values, crop description, and biomass samples in support of these campaigns. The objective of these field experiments was to create a soil moisture network over a semi-arid agricultural area in Mexico and compare the SMAP soil moisture estimates with soil moisture measurements. The comparison between in-situ values and SMAP retrievals of soil moisture demonstrated that absolute soil moisture values can be delivered by satellite observations. SMAP soil moisture estimates followed the general trend observed during the field experiment.
引用
收藏
页码:2243 / 2245
页数:3
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